The Study of the Factors and Development of Educational Model: The Relationship between the Learner Context and the Curriculum Context in Higher Education

Abstract

The objectives of this research were 1) to study the factors of the relationship between the learner context and the curriculum in higher education, 2) to construct of the model relationship between the learner context and the curriculum in higher education, and 3) to test the quality and accuracy after having the model and prototype application of the relationship between the learner context and the curriculum in higher education. Seven instruments were used in this research, including mean, standard deviation, percentages, decision tree, text mining, cross validation, and confusion matrix. The research findings are as follows; 1) The factors that are important to the learner’s continuing studying consist of two factors: education system, and interest in studying. 2) The results of the model performance showed that the model has a high level of accuracy (76.50%). 3) The result of the prototype test application by the user is also acceptable, with 68.98 percent accuracy from 1,109 testers. In the future, the researcher has the expectation to develop more accurate predictions.

Clustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao

“…There are also researchers who study the tools for applying the concepts for measuring and evaluating student performance [33]- [35]. Tools used in their studies include the use of statistical tools and data mining tools: basic statistical tools, decision tree techniques, k-means and k-medoids algorithms, confusion matrix performance, and cross-validation methods.…”

“…Some research groups want to study the factors that support and change learners' behavior and instructional methods [3], [13], [31], [33]. Some research groups want to study and develop tools that support the efficiency of teaching and learning [35], [37], [39]. Some research groups want to apply modern technology to be used in teaching and learning activities [40], [41].…”

“…It consists of machine learning applications, data mining tools and advanced statistics to carry out the process of educational system success [43]- [45]. In addition, the educational data mining refers to techniques, tools, and research designed to automate the definition of large data sources that are related to learning activities in the educational system [5], [19], [35], [45].…”

“…Examples of research in this field include research in application development to be recommended as suitable educational institutions for students [4], [35], [39]. They study and research on learners' factors, educational institutions' factors, educational data mining models that encourage learners to study in a suitable educational institution, and develop them into applications.…”

“…In addition, modeling is the process of creating a suitable prototype. It consists of four important parts: selecting the modeling techniques, generating test design, building the model, and assessing the model [31], [35].…”